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In this paper, we present an intelligent and flexible framework for autonomous pick-and-place tasks in previously unknown scenarios. It includes modules for object recognition, environment modeling, motion planning and collision avoidance, as well as sophisticated error handling and a task supervisor. The framework combines state-of-the-art algorithms and was validated during the first phase of the...
The objective of this work is first to present the kinematics modelling of an aerobridge for the application of automated aerobridge docking process to the aircraft, which will solve the manpower shortage issues as well as prevent the damage to aircraft due to human error in manual operation. As the aerobridge is a complex system which involves five active DOFs and four free DOFs, we have proposed...
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